An energy information system for retrofitting smart urban areas

An energy information system for
retrofitting smart urban areas
Álvaro Sicilia, Leandro Madrazo, Marco Massetti, Fabian López Plazas, Eric Ortet
ARC Engineering and Architecture La Salle
Ramon Llull University
Barcelona, Spain
asicilia@salleurl.edu
4th International Conference on Energy and Environment Research, ICEER 2017, 17-20 July 2017, Porto, Portugal
ENERSI | RTC-2014-2676-3 | An energy information system for retrofitting smart urban areas

in the EU buildings are responsible for
40% of energy consumption
36% of carbon emissions

• Could the energy efficiency of my building be
improved?
• What can I do to improve it?
• Where can I find help to finance the works?

• In which areas is more adequate to carry
out refurbishment projects?
• how these projects can be implemented?
(costs, returns of investment…)

• Which kind of funding should propose
to support people with more needs?
• How should I adapt the policies
according to the current performance ?

Energy Performance Certificates
Land Registry
Towns and cities
Census data

(Oracle)
Land Registry
(Web Service)
Towns and cities
(CSV)
Census data
(Shp)

(Oracle)
Land Registry
(Web Service)
Towns and cities
(CSV)
Census data
(Shp)
Semantic Web
Technologies

Integrating of energy-related data with Semantic Web
technologies
1) Ontology (Vocabulary) development (using Click-On)
• Agree on concept definitions based on ISO/CEN
standards
• Agree on attributes and properties (units,
methodologies…)
2) Mappings generation (Using Map-On)
• Define relations between Ontology concepts and
database tables and columns
3) Data source transformation (SQL/CSV…  RDF)
4) Data cleansing and enrichment
• Remove outliers, fix wrong values
(Oracle)
Land Registry
(Web Service)
Towns and cities
(CSV)
Census data
(Shp)

(Oracle)
Land Registry
(Web Service)
Towns and cities
(CSV)
Census data
(Shp)
Data integrated
400,000 Energy performance certificates (ICAEN)
400,000 Records from the land registry
22,000 Technical inspections of buildings (AHC)
8,000 Records from populated areas (CNIG)
30,000 Census sections (INE)

(Oracle)
Land Registry
(Web Service)
Towns and cities
(CSV)
Census data (Shp)

ENERVAL
Renew your property
The service for building owners that
enables them to assess the energy
performance of their building or dwelling,
to compare it with similar buildings, to
know which refurbishment measures
would suit the building and their costs.

Introducing the address of the building

Confirming the building

Building technical inspectionCadastre, EPC
Energy
performance
label
Benchmarking (similar buildings)

Refurbishment measures
applicable to the building (in
walls, roof, windows, building
equipment, renewable energies)
Energy savings, costs savings, return of
investment, maintenance

Access to public funding to undertake the
renovation

ENERPLAN
Renew your city
The service for city planners that helps
them to know how the building stock in
their municipality is performing, the
renewal potential of the buildings, which
buildings are more adequate to carry out
refurbishment projects and their cost.

Visualizing energy performance certificates in
the whole territory, at different scales

At the city scale, the census sections and the
cadastre footprint are shown. The most
predominant EPC label in the section shown

Assessing the impact of
refubishing a percentage
of the building stock in
the previously selected
area

Calculating the costs and
energy savings for all the
buildings selected, grouped
in different clusters (per
construction year, …)

Visualizing the buildings to
be renewed, according to
the clusters selected before

Identifying a particular
building amenable to
renovation; link to
ENERVAL to calculate the
renovations costs and
energy savings

List of building amenable to
renovation

Conclusions
- The quality of an energy information system depends on the
accuracy, validity, reliability, timeliness, and traceability of the
data.
- Since the quality of the data is not guaranteed, the ENERSI
platform includes internal processes to clean and enrich data
sources
- The next steps in the project are to develop additional tailored
services to other types of users, for example, for manufacturers
of components for building refurbishment who would like to
know in which areas they can market their products

Álvaro Sicilia
asicilia@salleurl.edu
ARC Engineering and Architecture La Salle,
Ramon Llull University, Barcelona, Spain
http://arc.salleurl.edu

An energy information system for retrofitting smart urban areas

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